[Hiring] Director, AI Security Platform Engineer @Mindlance

Role Description

The Director, AI Security Platform Engineer will serve as a player-coach engineering leader responsible for defining, building, and evolving a multi-service security compliance platform that serves as the connective tissue across the AI security program — while leading and growing the small, nimble team that builds it.

This is a hands-on leadership role: you will manage a small engineering team while remaining the platform's strongest individual contributor — writing production code, owning the architecture, and coordinating integration contracts across teams. It is a player-coach role weighted toward personal delivery, approximately 60% hands-on engineering and architecture, 40% people leadership and cross-organizational coordination.

The ideal candidate will combine senior-level distributed systems engineering with the ability to lead a lean team and influence across organizational boundaries.

Responsibilities

• Define the end-to-end system architecture for a multi-service security compliance platform.
• Own technology selection, protocol decisions, and data model design with full accountability.
• Lead, grow, and mentor a small, nimble engineering team.
• Design and build the agent consumption layer for AI agents across the security organization.
• Design and implement how security controls decompose from policy to implementation.
• Build integration services connecting enterprise architecture platforms and ITSM systems.
• Own architectural decision records and technology selection.
• Design and implement the contribution model for other security engineering teams.
• Coordinate across enterprise architecture, security governance, and compliance teams.
• Design and implement multi-tenant consumption patterns with high concurrency.

Qualifications

• Master's in Computer Science, Cybersecurity, or related STEM field, or commensurate experience in role.
• 8+ years in software engineering or architecture with production distributed systems at enterprise scale.
• 5+ years in security engineering, compliance automation, or platform development.
• Demonstrated experience designing and shipping platforms consumed by other engineering teams.
• Track record of leading a small engineering team as a hands-on player-coach.
• Track record of cross-organizational technical leadership.
• Experience with regulatory compliance frameworks in technical implementation.
• Strong communication skills with ability to brief senior leadership.

Requirements

• Distributed systems architecture at enterprise scale.
• Proficiency in Python and at least one additional systems language (Go, TypeScript, or Rust).
• API design for platform consumers: REST, GraphQL, streaming/SSE.
• Security architecture: mTLS, OAuth2 client credentials, service identity.
• Data modeling for compliance and audit domains.
• Kubernetes and cloud infrastructure architecture (AWS preferred).
• Experience with AI/ML agent frameworks and agentic system design.
• NIST OSCAL expertise across multiple models.
• Data lake and analytics architecture.
• Graph-based modeling: labeled property graphs, ontology design.
• Enterprise architecture integration patterns.
• Inner-source or open-source program design.
• Architectural decision documentation practices.

Preferred Skills

• Experience defining and operating a NIST OSCAL-native compliance system-of-record.
• Track record building agent-native API surfaces consumed by AI systems.
• Prior success establishing an inner-source platform with an active contributor community.

EEO

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”